The preceding models can be extended by allowing the latent variables to regress on each other. The resulting general model is known as a Structural Equation Model (SEM) and was first introduced by [1]}. SEM models are constructed using algebraic equations, not by formulating a probabilistic statistical model as is done in Bayesian Graphical Models [2]} for example.
